Global CO Dynamics Model Output during 1901-2100

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By Licheng Liu1, Qianlai Zhuang1

Purdue University

Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.

Version 1.0 - published on 05 Jul 2019 doi:10.4231/JGZ8-9C75 - cite this Archived on 05 Aug 2019

Licensed under CC0 1.0 Universal


Carbon monoxide (CO) plays an important role in controlling the oxidizing capacity of the atmosphere by reacting with OH radicals that affect atmospheric methane (CH4) dynamics. We developed a process-based biogeochemistry model to quantify the CO exchange between soils and the atmosphere. The model is then extrapolated to global terrestrial ecosystems to estimate global soil gross consumption, gross production, and net flux of the atmospheric CO during the period 1901-2100.

Super- computing resources for this project were provided by the Rosen Center for Advanced Computing at Purdue University for all of the model simulations. Matlab and IDL were used to post-process the output global CO flux data. Final data are presented in text format so any kind of user can read them easily.

The contains all model output data presented in Liu. et al., 2018 ACP paper, "Global soil consumption of atmospheric carbon monoxide: an analysis using a process-based biogeochemistry model"

1. Code_co contains all co dynamics model code used in paper;
2: Figures contains all figures showed in paper;
3: Simulation_global contains all processed data of model outputs. Original gridded data are too big for uploading, but can be requested directly from Authors;
4: org_simulation_global contains the monthly gridded data for period 2000-2013. Other period data are too big to upload but can be requested directly from Authors;
4: acp-18-7913-2018.pdf is the published paper;
5: Table_acp.xlsx contains all tables in paper.


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Please cite the original publication: Liu, L., Zhuang, Q., Zhu, Q., Liu, S., van Asperen, H., and Pihlatie, M.: Global soil consumption of atmospheric carbon monoxide: an analysis using a process-based biogeochemistry model, Atmos. Chem. Phys., 18, 7913-7931,, 2018.

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